A computer energy model will be constructed and calibrated to estimate the impacts of future climate variability on energy consumption, peak energy demand, and energy cost at the john c. Stennis space…

A computer energy model will be constructed and calibrated to estimate the impacts of future climate variability on energy consumption, peak energy demand, and energy cost at the john c. Stennis space center (SSC). Adaptation to these impacts will be explored through the modeling of various energy efficiency and renewable energy technology scenarios. The applicability of the model as an energy and utility master planning tool will be explored, with particular emphasis on methods to satisfy facility energy reduction, renewable energy, and sustainability mandates. Facility property data and energy consumption data will be used to classify groups of buildings at SSC. The groups will represent specific building types, sizes, ages, occupancy patterns, and energy systems. A prototypical building energy model will then be constructed to represent each group of buildings. These energy models will be calibrated to present-day measured energy consumption and weather data through an iterative parametric analysis method. The final calibrated building energy models are then simulated using NASA-supplied future climate model data. The result is an estimate of future climate impacts on site energy consumption, peak energy demand, and energy cost. The calibrated energy models are then used to model energy efficiency and renewable energy scenarios that mitigate the climate impacts. These scenarios are further explored within the context of the various SSC energy mandates, and energy and utility master planning requirements. Estimating the impacts to facility energy consumption, peak energy demand and energy cost due to climate variability will allow facility planning to account for new challenges in meeting energy reduction mandates and estimating future annual energy budgets. Additionally, any future capacity constraints on energy distribution and generation systems can be identified at an early stage. Methods to mitigate these climate impacts on energy consumption and energy systems can be explored and evaluated through the energy modeling system. Applicability of the energy model for energy and utility master planning - energy efficiency, renewable energy production, alternate central plants, or cogeneration - can be explored along with the viability of the model as a planning tool for meeting present and future energy and sustainability mandates.